Latest AI and machine learning research in therapeutic radiology for healthcare professionals.
BACKGROUND: The use of deep learning-based auto-contouring algorithms in various treatment planning ...
PURPOSE: The generalization ability of deep learning-based automatic segmentation techniques for lun...
BACKGROUND AND PURPOSE: Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI...
This study developed and evaluated an automatic segmentation model based on the Mamba framework (AM-...
Automatic clinical tumor volume (CTV) delineation is pivotal to improving outcomes for interstitial ...
Precise patient positioning is paramount in radiosurgery to ensure the accurate targeting of tumors ...
AIM: This review aims to evaluate the role of interventional radiotherapy (IRT - brachytherapy) in t...
BACKGROUND: Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is ...
BACKGROUND: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but ...
PURPOSE: This study evaluates the feasibility of using robotic-assisted bronchoscopy with cone beam ...
BACKGROUND: Dosimetric commissioning and quality assurance (QA) for linear accelerators (LINACs) pre...
PURPOSE: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle ins...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...
BACKGROUND: Poor needle placement in prostate high-dose-rate brachytherapy (HDR-BT) results in sub-o...
BACKGROUND: Recently, high-dose-rate (HDR) brachytherapy treatment plans generation was improved wit...
PURPOSE: To develop and validate a prognostic and predictive model integrating deep learning MRI fea...
BACKGROUND: Treatment with sole ultra-low dose rate brachytherapy (uLDR-BT) for unfavorable intermed...
BACKGROUND: Effective breast cancer treatment planning requires balancing tumor control while minimi...
BACKGROUND: Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKn...
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of...